I have this SQL query:
SELECT DISTINCT
[BatchCode]
,SUM([Quantity]) as 'Created'
,[TotalQuantity]
,[Status]
,[Destination]
开发者_运维知识库 ,[DateCreated]
,[CreatedBy]
FROM [FGIS].[dbo].[DropshipPackinglist]
GROUP BY BatchCode, TotalQuantity, Status, Destination, CreatedBy, ModifiedBy, DateCreated
The Result is this:
BatchCode Created TotalQuantity Status Destination DateCreated CreatedBy
---------------------------------------------------------------------------------------------------------------
0005041007100AHWA11HG 86 86 CREATED MediTelecom S.A. 2010-09-10 00:00:00.000 NULL
0005041007100AHWA11HGK 19 50 ALLOCATED USA 2010-09-12 07:35:17.000 jy
0005041007100AHWA11HGK 31 50 ALLOCATED USA 2010-09-12 07:35:20.000 jy
My Problem now is I can't Group DateCreated because of it has different time .
I want to group it by date only. Example: 2010-09-12
Thanks and regards...
Use CAST or CONVERT to alter the DATETIME format so the time portion is omitted:
SELECT [BatchCode],
SUM([Quantity]) as 'Created',
[TotalQuantity],
[Status],
[Destination],
CONVERT(VARCHAR(10), [DateCreated], 101) AS datecreated,
[CreatedBy]
FROM [FGIS].[dbo].[DropshipPackinglist]
GROUP BY BatchCode,
TotalQuantity,
Status,
Destination,
CreatedBy,
ModifiedBy,
CONVERT(VARCHAR(10), [DateCreated], 101)
I guess it's worth posting this separately:
Using char conversions to chop the time off dates (cast or convert to varchar) is slower than using DateAdd(Day, DateDiff(Day, 0, DateCreated), 0)
. I worked up full script and performance testing results to support this assertion.
SELECT DISTINCT
BatchCode
,SUM(Quantity) as Created
,TotalQuantity
,Status
,Destination
,DateAdd(Day, DateDiff(Day, 0, DateCreated), 0) as DayCreated
,CreatedBy
FROM FGIS.dbo.DropshipPackinglist
GROUP BY
BatchCode,
TotalQuantity,
Status,
Destination,
CreatedBy,
ModifiedBy,
DateDiff(Day, 0, DateCreated) -- note that the DateAdd convert back to datetime is not needed
Also, please note that your GROUP BY list is not the same as your SELECT list so some tweaking is needed.
UPDATE
It seems that the CPU savings for using DateAdd vs. varchar conversions, while a lot relatively, isn't a lot absolutely (just fractions of a millisecond per row). However, it is still a performance difference, and it seems best to me to save every bit possible.
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